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Professional and Research Experiences

Research Assistant Position
Time
March 2015 - January 2016
Title
Research Assistant to Professor Ngai-man Cheung’ Research Group
University
Singapore University of Technology and Design (SUTD in collaboration with MIT) (Singapore)
Faculty
Information Systems Technology and Design (ISTD)
Research Supervisor
Professor Ngai-man Cheung
Collaborators
In cooperation with Dr. Mohammad Rostami (University of Pennsylvania)
Research Project Topic
Compressed Sensing (CS) under Partial Differential Equation (PDE) constraints
For More information, please see the following website which is created to represent the results of one of the papers related to this topic.
Diffusive Compressed Sensing for Thermal Monitoring
Abstract
Investigating Compressed Sensing (CS) under partial differential equation (PDE) constraints. The objective was to take advantage of the instinct property of spatiotemporal sources (multidimensional signals which depend on location and change over the time, e.g. an electromagnetic field) as side information to improve the reconstruction results of classic CS. We have applied our proposed method on the novel applications such as thermal monitoring of multi-core CPU and EEG/MEG signal analysis for demonstrating the superiority of this PDE constrained CS theory compared to other traditional CS algorithms.
Research Assistant Position
Time
March 2015 - January 2016
Title
Research Assistant to Professor Ngai-man Cheung’ Research Group
University
Singapore University of Technology and Design (SUTD in collaboration with MIT) (Singapore)
Faculty
Information Systems Technology and Design (ISTD)
Research Supervisor
Professor Ngai-man Cheung
Collaborators
In cooperation with Dr. Hossein Nejati (Singapore University of Technology and Design & MIT) and Dr. Mohammad Rostami (University of Pennsylvania)
Research Project Topic
Emerging Compressed Sensing Algorithms for Brain Signal Analysis
(With Focus on 
Solving Inverse Problems in this area such as EEG/MEG Source Localization and also Reconstruction of EEG/MEG signal from reduced number of spatiotemporal samples in compressed domain. We proposed a framework which can apply to another practical areas like thermal monitoring.)
Abstract
We have done a deep study on the brain big data analysis. Actually, since the brain data is high dimensional, In first step, we have developed some new methods based on compresses sensing for analyzing brain mapping and imaging data and an idea to find the suitable basis function, which reduce the dimensionality and decrease the complexity cost. In next step, by merging compressed sensing algorithms with machine learning methods, we have proposed a “task-based dictionary method” for classifying brain EEG and MEG signals in a specific applications more efficiently and accurately. 
Research Assistant Position
Time
2011 - 2014
Title
Research Assistant to Prof. Dr. M. Nasiri-Kenari in Wireless Research Laboratory (WRL)
University
Sharif University of Technology (Tehran/Iran)
Faculty
Electrical Engineering
Research Supervisor
Prof. Dr. M. Nasiri-Kenari
Research Project Topic
Compressed Spectrum Sensing in Cognitive Radio Networks
Research Assistant Position
Time
2011 - 2014
Title
Research Assistant to Dr. M. Babayi-zadeh in Signal Processing Laboratory (SPL)
University
Sharif University of Technology (Tehran/Iran)
Faculty
Electrical Engineering
Research Supervisor
Dr. M. Babaie-zadeh
Research Project Topic
Compressed Spectrum Sensing in Cognitive Radio Networks
Research Assistant Position
Time
2010 - 2011
Title
Research Assistant to Dr. Musavinia in Wireless Communications Research Group
University
University of Tabriz (Tabriz/Iran)
Faculty
Electrical and Computer Engineering
Research Supervisor
Dr. Javad Musavinia
Research Project Topic
Practical Physical Layer Network Coding for Two-Way Relay Channels Performance Analysis and Comparison
Internship Position
Time
July 2010 -  September 2010
Title
Internship for Tabriz Urban Railway (U-Bahn) Organization (TURO); (Tabriz / Iran)
University
University of Tabtiz (Tabriz/Iran)
Faculty
Electrical and Computer Engineering
Project 
Supervisor
Prof. Dr. Ali Aghagolzadeh
Project Topic
Designing of the Tetra Networks for Railway, coverage of base stations and coverage by the effect of fading in outdoor and subway environment

 

 

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